References
1. Deoni et al., 2012. Investigating white matter development in infancy and early childhood using myelin water faction and relaxation time mapping. Neuroimage 63, 1038-1053.
2. Glasser MF, Van Essen D. 2011. Mapping Human Cortical Areas In Vivo Based on Myelin Content as Revealed by T1- and T2-Weighted MRI. J Neurosci 31: 11597-11616.
3. Glasser et al., 2014. Trends and properties of human cerebral cortex: Correlations with cortical myelin content. NeuroImage 93: 165-175.
4. Brodmann K. (1909). Vergleichende Lokalisationslehre der Großhirnrinde. Barth, Leipzig.
5. Douglas R. J., & Martin K. A. C. (2004). Neuronal circuits of the neocortex. Annual Review of Neuroscience, 27, 419–451.
6. Huang, H. et al. White and gray matter development in human fetal, newborn and pediatric brains. NeuroImage 33, 27–38 (2006).
7. Ouyang, M., Dubois, J., Yu, Q., Mukherjee, P. & Huang, H. Delineation of early brain development from fetuses to infants with diffusion MRI and beyond. NeuroImage 185, 019).
8. Ouyang, M., Jeon, T., Sotiras, A., Peng, Q., Mishra, V., Halovanic, C., Chen, M., Chalak, L., Rollins, N., Roberts, T. P. L., Davatzikos, C., & Huang, H. (2019). Differential cortical microstructural maturation in the preterm human brain with diffusion kurtosis and tensor imaging. Proceedings of the National Academy of Sciences of the United States of America, 116(10), 4681–4688.
9. Huang, H. Imaging the Infant Brain. in Oxford Research Encyclopedia of Psychology (Oxford University Press, 2022).
10. Yu, Q. et al. Differential White Matter Maturation from Birth to 8 Years of Age. Cerebral Cortex 30, 2674–2690 (2020).
11. Jeon T, Mishra V, Uh J, Weiner M, Hatanpaa KJ, White CL, Zhao YD, Lu H, Diaz-Arrastia R, Huang, H, 2012. Regional changes of cortical mean diffusivities with aging and Alzheimer disease after correction of partial volume effects. Neuroimage 62: 1705-1716.
12. Tooley, U.A., Bassett, D.S. & Mackey, A.P. Environmental influences on the pace of brain development. Nat Rev Neurosci 22, 372–384 (2021).
13. Hackman, D., Farah, M. & Meaney, M. Socioeconomic status and the brain: mechanistic insights from human and animal research. Nat Rev Neurosci 11, 651–659 (2010).
14. Huber, L. R., Poser, B. A., Bandettini, P. A., Arora, K., Wagstyl, K., Cho, S., ... & Gulban, O. F. (2021). LayNii: A software suite for layer-fMRI. NeuroImage, 237, 118091.
15. Waehnert, M. D., Dinse, J., Weiss, M., Streicher, M. N., Waehnert, P., Geyer, S., Turner, R., & Bazin, P. L. (2014). Anatomically motivated modeling of cortical laminae. NeuroImage, 93 Pt 2, 210–220.
16. Wood, S. N. Stable and efficient multiple smoothing parameter estimation for generalized additive models. J. Am. Stat. Assoc. 99, 673–686 (2004).
17. Bates, D., Mächler, M., Bolker, B., & Walker, S. (2015). Fitting linear mixed-effects models using lme4. Journal of statistical software, 67, 1-48.
18. Li, R., Wu, W., Mohapatra, S., Sindabizera, K., Zhang, Z., Lee, C., Ouyang, M., Huang, H. (2024). Differential myelination maturation across cortical regions and white matter tracts during infancy. Processings of ISMRM, 0831.
19. Bayley, N. (2006). Bayley Scales of Infant and Toddler Development – Third Edition (Bayley-III). San Antonio, TX: Harcourt Assessment.
20. Hollingshead, A. B. (2011). Four factor index of social status. Yale Journal of Sociology, 8, 21–51.
21. Cohen, S., Kamarck, T., & Mermelstein, R. (1983). A global measure of perceived stress. Journal of Health and Social Behavior, 24(4), 385–396.
22. Aiken, L. S., & West, S. G. (1991). Multiple Regression: Testing and Interpreting Interactions. Newbury Park, CA: Sage.